Because impact here isn’t theoretical – it’s lived. You’ll design experiments, run studies and translate insights into action that gets rolled out on the ground. This is work with purpose, backed by a team that genuinely values curiosity, rigour and innovation.

The role comes with a generous package too:

✨ £52–62k salary

✨ 40 days’ annual leave

✨ Private medical & dental

✨ 8% employer pension

✨ Learning and wellbeing allowance

✨ Cutting-edge AI tools to elevate your research workflow

✨ Hybrid working in London or Edinburgh (2–3 days in office)

Our client is a non-profit accelerator committed to improving early childhood outcomes. They combine data science, mixed-methods research and entrepreneurial thinking to design, test and scale evidence-based interventions.

They’re not a standard foundation. They roll up their sleeves:

➡️ identifying a challenge

➡️ researching it deeply

➡️ designing and trialling interventions

➡️ implementing solutions in real-world settings

Their mission is simple but bold: give every child the conditions to flourish.

No two weeks look the same, but you will:

• Lead mixed-methods research across quant, qual and secondary analysis.

• Design field experiments, online experiments and surveys.

• Work closely with data scientists to turn complex evidence into actionable programme insights.

• Shape organisational strategy and strengthen intervention design.

• Communicate findings through clear, compelling storytelling.

• Support and mentor junior researchers.

• Represent the organisation at events and conferences.

Your work will directly influence programmes that are tested and deployed across the UK.

You’ll thrive here if you:

• Bring 5+ years of applied research experience and strong mixed-methods confidence.

• Have experience designing trials, experiments or large-scale surveys.

• Can translate evidence into practical, impactful recommendations.

• Care deeply about early childhood, prevention, social policy or related fields.